Journal of Capital Medical University ›› 2022, Vol. 43 ›› Issue (4): 576-583.doi: 10.3969/j.issn.1006-7795.2022.04.011

• Medical Informatics:Application and Development • Previous Articles     Next Articles

Computable clinical evidence synthesis:a literature review

Bai Yongmei 1,2,3, Du Jian 2*   

  1. 1. Institute of Medical Technology, Peking University Health Science Center, Peking University, Beijing 100191, China;
    2. National Institute of Health Data Science, Peking University, Beijing 100191, China;
    3. School of Public Health, Peking University, Beijing 100191, China
  • Received:2022-03-21 Online:2022-08-21 Published:2022-10-28
  • Contact: *E-mail:dujian@bjmu.edu.cn
  • Supported by:
    This study was supported by National Natural Science Foundation of China (72074006), Young Elite Scientists Sponsorship Program by China Association for Science and Technology (2017QNRC001), Peking University Health Science Center(BMU2021YJ008).

Abstract: The rapid growth of medical publications and the increasing medical data have brought unprecedented difficulties for rapid clinical evidence synthesis. In recent years, how to keep up with the development of massive medical evidence and convert it into clinical practice has become an urgent problem to be solved. At present, the method of making full use of structured medical database and directly using structured data to promote the synthesis of medical evidence has become a major trend in clinical evidence synthesis. By converting human-readable medical evidence in PDF and HTML formats into machine-readable format, we can construct a graph of medical knowledge to help domestic doctors to quickly understand the medical research progress and carry out evidence synthesis to support evidence-based clinical decision-making. We introduced the current research status of computable evidence synthesis for system review and clinical trials and clarified the implementation framework and future development direction of computable evidence synthesis through case analysis.

Key words: computable, evidence synthesis, randomized controlled trial(RCT), systematic review

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